Translate complex business problems into solutions that leverage end-to-end, production-level machine learning systems
Develop, iterate on, and productionize machine learning models, owning both model logic and supporting systems.
Implement and own backend pricing services and APIs consumed by the Lime App.
Architect and build scalable, reliable platforms and services that power pricing decisions and enable new product initiatives.
Build trust with leadership to influence the company's pricing strategy through reasoning and communication of model performance and technical vision
Collaborate with other Software Engineers and Data Scientists to raise the bar on ML standards and Engineering Excellence
Mentor and support engineers on the team, helping grow technical depth and develop future leaders.

Requirements

5+ years of industry professional software engineering experience deploying machine learning methods at scale in production level systems.
2+ years of experience in Reinforcement Learning with expertise implementing customized reward functions, policy optimization, and multi-armed bandits.
2+ years of backend development experience (Ruby on Rails is a plus).
Fluency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (e.g. SQL, pandas, spark, airflow)
Experience with cloud computing services or platforms (preferably AWS).
Experience with both Snowflake and Sagemaker is a plus.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningReinforcement Learningbackend developmentPythonRuby on RailsPyTorchTensorFlowSQLpandasSpark

Soft Skills

communicationcollaborationmentoringinfluencingreasoning